AI-Guided UAV Threat Response for Real-Time Intruder Detection
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Solution Overview
Problem
Current security systems fail to effectively deter and respond to threats in real-time, particularly in interactions between law enforcement and citizens, as traditional alarms often become background noise, allowing potential criminals to commit crimes without being identified or apprehended.
Innovation Solution
A method utilizing unmanned aerial vehicles (UAVs) equipped with flight controllers, machine learning systems, and AI to analyze sensor data from surveilled areas, launch UAVs to identify intruders, alert individuals, and guide law enforcement, while also storing event data for post-event analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional alarm systems are used to deter threats, then attention can be drawn to potential threats, but the alarm becomes background noise and is neglected, allowing crimes to occur without identification
Solution Approach 1:
The patent introduces UAVs as intermediary devices that bridge the gap between traditional alarm systems and law enforcement. When an alarm is triggered, the UAV autonomously launches to surveil the area, identify threats using AI analysis, and provide real-time video feeds to authorities, thereby maintaining deterrence while ensuring reliable threat identification and apprehension
Solution Approach 2:
The patent replaces the passive mechanical alarm system with an active autonomous system involving UAVs equipped with AI capabilities. Instead of relying solely on audible alarms that become background noise, the system substitutes a multi-component response mechanism including autonomous launch, AI-powered threat analysis, and real-time communication with law enforcement
2Speed
If police officers respond directly to threats without additional support, then response time is minimized, but officer safety is compromised due to lack of situational awareness and backup
Solution Approach 1:
The patent implements preliminary action by having the UAV launch and begin surveillance immediately when an alarm is triggered, before police officers arrive at the scene. The UAV autonomously identifies threats, maps the environment, and provides real-time intelligence to both officers and command centers, ensuring officer safety through advance situational awareness without delaying the response
Solution Approach 2:
The UAV serves as an intermediary between the alarm system and police officers, providing a layer of autonomous surveillance and intelligence gathering that enhances officer safety. The UAV transmits real-time video feeds and threat analysis to both officers in the field and the command center, creating a communication bridge that improves coordination and safety
3Measurement precision
If multiple sensors and UAVs are deployed to improve threat detection and response, then detection accuracy and response effectiveness are enhanced, but system complexity increases
Solution Approach 1:
The patent applies universality by designing the UAV to perform multiple functions: surveillance, threat identification using AI, real-time communication with law enforcement and command centers, and coordination with other sensors. This multi-functional approach enhances detection accuracy while managing system complexity by consolidating capabilities into a single autonomous platform
Solution Approach 2:
The system implements self-service through the autonomous UAV that automatically launches upon alarm activation, independently surveils the area, identifies threats using onboard AI, and communicates findings without requiring manual intervention. This autonomy reduces operational complexity while maintaining high detection accuracy through integrated sensor and AI systems
Data Source
AI summary
A threat response system includes a response and alert generator to, based on one or more data feeds with event type data and event location data related to a surveilled area, classify an event, determine a total score of the event compared to a predetermined threat threshold, and output one or more response operations based on the event classification and the total score of the event. A response plan database is included to store and/or predict one or more predetermined action plans operable to direct one or more unmanned aerial vehicle (UAVs) to respond to the event. An event database is included to store a project of event types predetermined as suitable for a UAV response. A controller of the system can receive data from one or more data feeds associated with the surveilled area to determine a match between event data and one or more event types in the event database.